An urgent computing oriented architecture for dynamic climate risk management framework

Shahrzad Pour; Daniel Balouek; Amir Masoumi; Martin Brynskov

doi:10.1145/3603166.3632539

An urgent computing oriented architecture for dynamic climate risk management framework

Shahrzad Pour
, Daniel Balouek
, Amir Masoumi
, Martin Brynskov

IMT Atlantique

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

The Computing Continuum drives holistic system integration, especially in the road sector, where there's a growing need for comprehensive Decision Support Systems in operation and maintenance strategies based on sensor data. These systems offer dynamic assessments, critical for managing road assets vulnerable to climate change and extreme weather events. The resulting data uncertainties, including variations in data veracity and variability require timely decision-making for coordination and adaptiveness of the system as a whole. We introduce an urgent computing architecture for a dynamic risk management framework, discussing its related challenges and software design patterns.

Original language	English
Title of host publication	Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing
Number of pages	4
Publisher	Association for Computing Machinery
Publication date	2023
ISBN (Print)	979-8-4007-0234-1
DOIs	https://doi.org/10.1145/3603166.3632539
Publication status	Published - 2023
Event	IEEE/ACM 16th International Conference on Utility and Cloud Computing - Taormina, Italy Duration: 4 Dec 2023 → 7 Dec 2023

Conference

Conference	IEEE/ACM 16th International Conference on Utility and Cloud Computing
Country/Territory	Italy
City	Taormina
Period	04/12/2023 → 07/12/2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1145/3603166.3632539Licence: CC BY

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Cite this

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title = "An urgent computing oriented architecture for dynamic climate risk management framework",

abstract = "The Computing Continuum drives holistic system integration, especially in the road sector, where there's a growing need for comprehensive Decision Support Systems in operation and maintenance strategies based on sensor data. These systems offer dynamic assessments, critical for managing road assets vulnerable to climate change and extreme weather events. The resulting data uncertainties, including variations in data veracity and variability require timely decision-making for coordination and adaptiveness of the system as a whole. We introduce an urgent computing architecture for a dynamic risk management framework, discussing its related challenges and software design patterns.",

author = "Shahrzad Pour and Daniel Balouek and Amir Masoumi and Martin Brynskov",

year = "2023",

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booktitle = "Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing",

publisher = "Association for Computing Machinery",

address = "United States",

note = "IEEE/ACM 16th International Conference on Utility and Cloud Computing, UCC ; Conference date: 04-12-2023 Through 07-12-2023",

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Pour, S, Balouek, D, Masoumi, A & Brynskov, M 2023, An urgent computing oriented architecture for dynamic climate risk management framework. in Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing. Association for Computing Machinery, IEEE/ACM 16th International Conference on Utility and Cloud Computing, Taormina, Italy, 04/12/2023. https://doi.org/10.1145/3603166.3632539

An urgent computing oriented architecture for dynamic climate risk management framework. / Pour, Shahrzad; Balouek, Daniel; Masoumi, Amir et al.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing. Association for Computing Machinery, 2023.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Brynskov, Martin

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AB - The Computing Continuum drives holistic system integration, especially in the road sector, where there's a growing need for comprehensive Decision Support Systems in operation and maintenance strategies based on sensor data. These systems offer dynamic assessments, critical for managing road assets vulnerable to climate change and extreme weather events. The resulting data uncertainties, including variations in data veracity and variability require timely decision-making for coordination and adaptiveness of the system as a whole. We introduce an urgent computing architecture for a dynamic risk management framework, discussing its related challenges and software design patterns.

U2 - 10.1145/3603166.3632539

DO - 10.1145/3603166.3632539

M3 - Article in proceedings

SN - 979-8-4007-0234-1

BT - Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing

PB - Association for Computing Machinery

T2 - IEEE/ACM 16th International Conference on Utility and Cloud Computing

Y2 - 4 December 2023 through 7 December 2023

ER -

An urgent computing oriented architecture for dynamic climate risk management framework

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